Podcast Short 1:11 September 8, 2026From Season 2, Episode 7

Why Front-End Eligibility Is the Number One Denial Prevention Impact

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Christina Slemp·System Vice President of Revenue Cycle Financial Services, UNC Health
In this clip

Christina Slemp identifies three upstream areas where investment in tools and process creates the highest denial prevention impact at UNC Health. The top priority is eligibility: front-desk teams face high turnover and difficult training conditions, and any tool that makes eligibility verification easier at that point of care represents the highest-ROI upstream intervention available. The second priority is surgical authorization accuracy: when what was ordered and what was performed diverge, payers can give as little as 24 hours to update the authorization, so a rapid identification process is critical. The third is a longer-term goal: payers and providers reaching consensus on medical necessity definitions before claims are submitted rather than resolving the disagreement at the back end.

Key Takeaway

Eligibility and surgical authorization accuracy are two denial prevention levers that any organization can address immediately, and eligibility alone represents the single highest-ROI intervention available to front-end teams. Medical necessity consensus between payers and providers is harder and longer-term, but it is the only durable solution for that denial category.

“However we can make it the easiest for the front end to get those eligibility checks, it’s the number one impact that we can make.”

Christina Slemp, System Vice President of Revenue Cycle Financial Services, UNC Health

Claims Denial ManagementAgentic AI
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Christina Slemp
Season 2 · Episode 7 · 44 min

Rethinking Denials Management: AI-Driven Prediction, Sprint-Based Root Cause Resolution, and Trust as the Foundation of Revenue Cycle Change

Christina Slemp · System Vice President of Revenue Cycle Financial Services, UNC Health

Christina Slemp, System Vice President of Revenue Cycle Financial Services at UNC Health, brings a cross-systems perspective on claims denial management shaped by more than 25 years of leading revenue cycle operations across hospital systems, health plans, and payer contracting. She describes the multi-dimensional framework her teams use to approach denials, from six-week microtargeted sprint cycles with structured root cause analysis and cross-functional executive committee oversight, to the AI and RPA combination she considers best practice for automating appeals at scale. The conversation covers the organizational restructuring she guided at UNC Health, which consolidated professional and hospital billing under an enterprise AI and automation strategy, her view that predictive AI for anticipating payer behavior represents the next step beyond reactive denial management, and the emerging use of AI to analyze payer policy changes and quantify their financial impact before organizations fall behind. Christina closes with her perspective on the leadership behaviors that drive lasting change in revenue cycle, including why data alone does not move people and why trust is the only sustainable currency for change management.

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